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Metadata and Semantic Research - Third International Conference, MTSR 2009, Milan, Italy, October 1-2, 2009. Proceedings
Preface
5
Organization
6
Table of Contents
9
Theoretical Research: Results and Proposals
9
VMAP: A Dublin Core Application Profile for Musical Resources
12
Introduction
12
Limitation of Metadata Standards for Musical Assets
13
Metadata Modelling for Musical Resources Using FRBR
15
Conclusions and Future Work
21
References
21
Usage-Oriented Topic Maps Building Approach
24
Introduction
24
An Overview of Our Multilingual Topic Map Construction Approach
25
The Topic Map Building and Validation Steps
27
The Topic Map Building Step
27
The Topic Map Validation Step
28
The Topic Map Integration Step
29
Related Works
31
Conclusion and Future Work
32
References
32
ManagemOnt: A Semantic Approach to Software Engineering Management Process
35
Introduction
35
Motivation
36
Semantic Software Engineering Processes
37
Software Engineering Management Meta-model
39
Software Engineering Management Ontology
40
Future Work
43
Conclusions
43
References
44
Clarifying the Semantics of Relationships between Learning Objects
46
Introduction
46
Critical Review of Relationships in LOM
47
Related Work
50
Impact of Relationships in the Metadata 1.7 Structure
52
Modeling Relationships
54
Conclusions
56
References
57
A Framework for Automatizing and Optimizing the Selection of Indexing Algorithms
59
Introduction
59
Related Work
60
A Generic Framework for Selecting Indexing Algorithms
62
Determining Indexing Algorithms According to a Query
62
Concrete Application Domains
64
Application to Structured Metadata
65
Application to RDF-Based Descriptions
65
Optimizations and Discussions
67
Conclusion
68
References
69
Empirical Analysis of Errors on Human-Generated Learning Objects Metadata
71
Introduction
71
Quality of Learning Objects Metadata
72
Data Description
73
Methodology
73
Groups of Errors
73
Results
75
General Overview
77
Errors and Level of Knowledge about Categories
78
Category 3.Meta-metadata:
78
Category 9.Classification:
79
Conclusions and Future Work
80
References
81
Analysis of Educational Metadata Supporting Complex Learning Processes
82
Introduction
82
Design, Execution and Control of Complex Learning Processes
83
Related Work on Learning Process Design and Execution
83
An Extended Characterization of Complex Learning Processes
85
Workflow Control Patterns-Based Analysis of EMLs
85
Workflow Control Patterns
86
Learning Process Analysis Based on Workflow Control Patterns
87
Case Study: Wrapping a Learning Design with LPCEL Metadata Primitives
90
Conclusions
91
References
92
A Fine-Grained Metric System for the Completeness of Metadata
94
Introduction – Related Work
94
A Metric System for Completeness
96
Introducing Completeness at the Field Level
97
Measuring Completeness at the Field Level
98
Extending Completeness Metrics at the Representation Level
100
A Discussion of the Proposed Metrics
102
Conclusion – Future Work
104
References
104
Unified Semantic Search of Data and Services
106
Introduction
106
Motivating Scenario and Running Example
107
Building the Global Data and Service View at Set-Up Time
109
Building an Integrated Representation of eServices: The GLSO
109
Mapping of Data and Service Ontologies
112
Data and eService Retrieval
113
eService Retrieval
114
Related Work
116
Conclusion and Future Work
117
References
117
Preliminary Explorations on the Statistical Profiles of Highly-Rated Learning Objects
119
Introduction
119
Quantitative, Measurable Aspects of Learning Objects
121
Preliminary Empirical Study
121
Method
122
Results
123
Discussion
123
Conclusions and Outlook
126
References
127
Applications: Case Studies and Proposals
10
A Semantic Web Based System for Context Metadata Management
129
Introduction
130
Related Work
130
Semantic Web Based System for Context Metadata Management
132
System Architecture
132
Context module.
132
History module.
133
Rules module.
133
Inference module.
133
Input module.
133
Output module.
133
Translation module.
133
User interface module.
134
Module Interactions
134
Context Model
135
Case Study
137
Conclusions and Future Work
138
References
139
An XML Pipeline Based System Architecture for Managing Bibliographic Metadata
141
Introduction
141
Background
143
XML Metadata Format
144
System Architecture
145
Implementing the System in Practice
150
Conclusions
150
References
151
DataStaR: Bridging XML and OWL in Science Metadata Management
152
Introduction
152
Motivation and General Approach
153
XML Schemas and OWL: Background and Related Work
154
First Application: Ecological Metadata
155
System Implementation
156
Generation of Editing and Display Interfaces
156
Hidden XML Semantics
158
Ongoing Work
158
Multiple Formalisms and DL Compatibility
158
Ordering of Axioms
159
Evaluation
159
A Particular Advantage of XML Tools – Handling Text Markup
160
Conclusion
160
Funding Acknowledgement and Disclaimer
160
References
161
Structured Metadata for Representing and Managing Complex ‘Narrative’ Information
162
Introduction
162
General Backaground
163
Narratology and Related Disciplines
163
Present (and Past) Solutions for Representing Narratives
165
A Short Description of NKRL
166
The Knowledge Representation Aspects
166
The Querying and Inferencing Aspects
170
Conclusion
174
References
174
A Semantic Web Framework to Support Knowledge Management in Chronic Disease Healthcare
175
Introduction
175
Healthcare Knowledge Management for Chronic Disease
176
Ontology-Based Healthcare Knowledge Management Framework
177
Knowledge Resources
177
Ontology Development
177
Evidence-Based Healthcare Resource Repository
179
Discussion
180
References
180
Ontological Enrichment of the {\it Genes-to-Systems Breast Cancer} Database
182
Introduction
182
Background
183
Methods
185
Ontologies
185
The Ontology Based G2SBC
185
Ontologies Description
185
The Ontology Layer Implementation
186
Discussion
187
Improvement Related to Ontologies Exploitation
189
Conclusions
191
Acknowledgments.
192
References
192
An Ontology Based Approach to Information Security
194
Introduction
194
Overview of Information Security
196
Ontology Based Applications in the Knowledge Management
197
Ontological Needs in Information Security
198
IS Ontology Conceptual Model
199
Conclusions and Future Work
201
References
202
Reusability Evaluation of Learning ObjectsStored in Open Repositories Based on Their Metadata
204
Introduction
204
Learning Object Evaluation
205
Learning Object Reusability Metrics Based on Metadata Records
205
Cohesion
206
Size and Complexity
207
Portability
207
Quality Evaluation in the Use of Metadata in Repositories eLera and Merlot
208
Source of Metadata
209
Correspondence between eLera, Merlot and LOM Metadata Elements
209
Unstructured Metadata
210
Different Value Spaces
211
Metadata Completeness
211
Conclusions
212
References
212
A Comparison of Methods and Techniques for Ontological Query Expansion
214
Introduction
214
State of the Art
216
A Definition of Query Expansion
216
Query Expansion Methods
217
Towards a Platform for QE: Implementation
219
Type of Ontologies: Thesauri
219
Definition of the Ontology Representation Language: SKOS
220
Platform Architecture
220
Testing
222
Conclusions
223
References
224
Exploring Characterizations of Learning Object Repositories Using Data Mining Techniques
226
Introduction
226
Methodology
227
Criteria for LOR Selection
227
Data Collection
228
Preprocessing
228
Application of Data Mining Techniques
228
Potential Applications
234
Conclusions
234
References
235
Special Track: Metadata and Semantics for Agriculture, Food and Environment
10
Assuring the Quality of Agricultural Learning Repositories: Issues for the Learning Object Metadata Creation Process of the CGIAR
237
Introduction
237
Issues in Approaching the Nature of Quality in Education
238
Addressing Quality Metadata
239
Quality Assurance for LOM of the CGIAR
242
Conclusion
245
References
246
Ontology Design Parameters for Aligning Agri-Informatics with the Semantic Web
250
Introduction
250
Design Parameters
251
Purposes of the Ontologies
251
Reusing Ontologies and Ontology-Like Artefacts
251
Bottom-Up Development of Ontologies through Ontology Learning
253
Representation Languages and Reasoning Services
253
Conclusions
254
References
255
Developing an Ontology for Improving Question Answering in the Agricultural Domain
256
Introduction
256
Related Work
258
Improving Question Answering for the Agricultural Domain
259
The RCCA Journal as Agricultural Domain
260
Ontology Construction
260
The AGROVOC Thesaurus and WordNet
261
Alignment between Ontology and Domain Terminology
262
Calculating Weights.
264
Experiments and Results
264
Conclusions and Future Work
266
References
266
A Service Architecture for Facilitated Metadata Annotation and Ressource Linkage Using agroXML and ReSTful Web Services
268
Introduction
268
Materials and Methods
268
Prototype
270
Discussion
271
Outlook
273
References
273
A Water Conservation Digital Library Using Ontologies
274
Introduction
274
Ontology Development Methodology
275
Specification and Conceptualization
275
Formalization and Implementation
276
Ontology Application
276
Top Level Ontology
277
Domain Specific Ontology
277
System Architecture
278
Preliminary Conclusions
279
References
280
Evaluation of a Metadata Application Profile for Learning Resources on Organic Agriculture
281
Introduction
281
Background
282
Generic Process for AP Development
282
Evaluating the Application Profile
283
Revisiting the Process
284
Development of a LOM-Based AP for Organic Agriculture and Agroecology and Evaluation Study
285
Pilot Experiment Settings
285
Results
286
AP Revisions
288
Conclusions
289
References
290
Ontology for Seamless Integration of Agricultural Data and Models
293
Introduction
293
Ontologies in Integrated Assessment Studies
294
The Seamless Integrated Project
294
A Platform for Agro-Environmental Impact Assessments: SeamFrame
295
Ontology Development for Scientific Workflows
295
Model Chains and Scales – Interoperability Issues
295
Community Ontology Development in Seamless-IP
296
The Seamless Ontologies
296
The Seamless Model Chain
296
Crops and Products Ontology
297
Farm Ontology
298
Production Enterprise
298
Agricultural Activities
299
Economic Valuation of Agricultural Activities and Optimal Farmer Behaviour
300
Agricultural Policy Assessment
300
Assessment Project Ontology
301
Contribution of Ontology Development in Software Engineering Tasks
302
Cross-Programming Language Transliterations
302
Persistent Storage of Simulation Results
303
Documentation of Source Code and Database Schemas
303
Discussion
303
References
304
Assessment of Food and Nutrition Related Descriptors in Agricultural and Biomedical Thesauri
305
Introduction
305
Materials and Methods
306
Thesauri and Databases under Study
307
Results
308
Descriptors Related to Food in General
308
Descriptors Related to Vegetables
309
Descriptors Related to Milk
312
Descriptors Related to Seafoods
312
Discussion and Conclusions
314
References
315
Networked Ontologies from the Fisheries Domain
317
Introduction
317
The Process of Reengineering Reference Data for Time Series
319
The First Network of Fisheries Ontologies
319
Conclusions and Future Work
321
References
322
Improving Information Exchange in the Chicken Processing Sector Using Standardised Data Lists
323
Introduction
323
Method
324
Results
326
Discussion
328
References
331
Navigation as a New Form of Search for Agricultural Learning Resources in Semantic Repositories
333
Introduction
333
Technical Foundations
334
Overall Architecture of Organic.Edunet
334
Semantic Technologies
335
Semantic Search
335
Conclusions
337
References
337
Author Index
339
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